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Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta

Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differe...

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Autores principales: Rueda-Martínez, Carmen, Lamas, Oscar, Mataró, María José, Robledo-Carmona, Juan, Sánchez-Espín, Gemma, Jiménez-Navarro, Manuel, Such-Martínez, Miguel, Fernández, Borja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026239/
https://www.ncbi.nlm.nih.gov/pubmed/24841551
http://dx.doi.org/10.1371/journal.pone.0097449
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author Rueda-Martínez, Carmen
Lamas, Oscar
Mataró, María José
Robledo-Carmona, Juan
Sánchez-Espín, Gemma
Jiménez-Navarro, Manuel
Such-Martínez, Miguel
Fernández, Borja
author_facet Rueda-Martínez, Carmen
Lamas, Oscar
Mataró, María José
Robledo-Carmona, Juan
Sánchez-Espín, Gemma
Jiménez-Navarro, Manuel
Such-Martínez, Miguel
Fernández, Borja
author_sort Rueda-Martínez, Carmen
collection PubMed
description Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differentially expressed genes in diseased tissue by quantitative real-time PCR (qPCR) is an invaluable tool to fill this gap. However, studies dedicated to identify reference genes necessary for normalization of mRNA expression in aortic tissue are scarce. In this report, we evaluate the qPCR expression of six candidate reference genes in tissue from the ascending aorta of 52 patients with a variety of clinical and demographic characteristics, normal and dilated aortas, and different morphologies of the aortic valve (normal aorta and normal valve n = 30; dilated aorta and normal valve n = 10; normal aorta and BAV n = 4; dilated aorta and BAV n = 8). The expression stability of the candidate reference genes was determined with three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable genes for the three algorithms employed were CDKN1β, POLR2A and CASC3, independently of the structure of the aorta and the valve morphology. In conclusion, we propose the use of these three genes as reference genes for mRNA expression analysis in human ascending aorta. However, we suggest searching for specific reference genes when conducting qPCR experiments with new cohort of samples.
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spelling pubmed-40262392014-05-21 Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta Rueda-Martínez, Carmen Lamas, Oscar Mataró, María José Robledo-Carmona, Juan Sánchez-Espín, Gemma Jiménez-Navarro, Manuel Such-Martínez, Miguel Fernández, Borja PLoS One Research Article Dilatation of the ascending aorta (AAD) is a prevalent aortopathy that occurs frequently associated with bicuspid aortic valve (BAV), the most common human congenital cardiac malformation. The molecular mechanisms leading to AAD associated with BAV are still poorly understood. The search for differentially expressed genes in diseased tissue by quantitative real-time PCR (qPCR) is an invaluable tool to fill this gap. However, studies dedicated to identify reference genes necessary for normalization of mRNA expression in aortic tissue are scarce. In this report, we evaluate the qPCR expression of six candidate reference genes in tissue from the ascending aorta of 52 patients with a variety of clinical and demographic characteristics, normal and dilated aortas, and different morphologies of the aortic valve (normal aorta and normal valve n = 30; dilated aorta and normal valve n = 10; normal aorta and BAV n = 4; dilated aorta and BAV n = 8). The expression stability of the candidate reference genes was determined with three statistical algorithms, GeNorm, NormFinder and Bestkeeper. The expression analyses showed that the most stable genes for the three algorithms employed were CDKN1β, POLR2A and CASC3, independently of the structure of the aorta and the valve morphology. In conclusion, we propose the use of these three genes as reference genes for mRNA expression analysis in human ascending aorta. However, we suggest searching for specific reference genes when conducting qPCR experiments with new cohort of samples. Public Library of Science 2014-05-19 /pmc/articles/PMC4026239/ /pubmed/24841551 http://dx.doi.org/10.1371/journal.pone.0097449 Text en © 2014 Rueda-Martínez et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Rueda-Martínez, Carmen
Lamas, Oscar
Mataró, María José
Robledo-Carmona, Juan
Sánchez-Espín, Gemma
Jiménez-Navarro, Manuel
Such-Martínez, Miguel
Fernández, Borja
Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title_full Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title_fullStr Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title_full_unstemmed Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title_short Selection of Reference Genes for Quantitative Real Time PCR (qPCR) Assays in Tissue from Human Ascending Aorta
title_sort selection of reference genes for quantitative real time pcr (qpcr) assays in tissue from human ascending aorta
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026239/
https://www.ncbi.nlm.nih.gov/pubmed/24841551
http://dx.doi.org/10.1371/journal.pone.0097449
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